Rayen Digital

Mantis AI Harness™ · Industrial agentic AI

Your best expert's judgment, on every shift.

Mantis AI Harness spots problems early, explains the likely cause with evidence, and keeps the know-how of your experts in the company. Your data stays on site, and your people stay in control.

On site, air-gap readyAny LLMNo codeEnglish · Español · Français · 中文
Mantis AI Harness overview2:10

The platform

Mantis AI Harness

An industrial agentic AI platform that combines AI models with live plant data, your engineering documents and rule-driven reasoning, so its answers rest on what is happening in your operation, not on general knowledge.

Autonomous by design. Its agents watch your process around the clock, analyze what changes, plan their own reasoning steps and choose the tools they need, then alert the right person with the likely cause and the evidence. Every action that changes something still waits for a person's approval.

Each task is assigned to a model based on measured results: every call records the model used, its response time and its cost, so your team can see which model, local or cloud, serves each task best.

Responsible AI and trust. It runs on infrastructure you control, stays within your engineering and safety guardrails, asks a person before any write, cites the evidence behind each answer and flags unsupported or inconsistent claims.

The result: engineers and decision makers troubleshoot faster, understand complex processes, keep expert knowledge in the company, and speed up automation engineering.

Why it matters

For your business

  • Expert knowledge stays with the company when people retire or move on.
  • Faster, evidence-backed answers on every shift.
  • Your data stays on site, and you choose the models.
  • Start with one pilot, then reuse the same manifests at the next site.
  • Every decision is traceable for safety and compliance reviews.

For your engineers

  • Describe an agent instead of coding it.
  • Connect any system once through MCP, then every agent can use it.
  • Numbers are computed in code, and every answer points to its source.
  • Less time searching manuals and trends, more time improving the process.
  • The agent proposes; the engineer decides.

Security and trust

Air-gap ready

Runs fully offline with local models.

Read-only by default

No write without an operator's confirmation.

Data stays on site

Cloud models only where you allow them.

Encrypted vault

Credentials never sit in manifests or logs.

Audit and provenance

Every action, approval and source recorded.

Roles and organizations

Each team sees only its own agents and data.

Your security team can review our security overview (PDF): Download it →

Industries we serve

Mining and minerals

Explain drops in throughput or recovery from plant data and your SOPs, with the evidence.

Energy and utilities

Watch boiler and plant tags, and flag abnormal combustion or steam conditions early.

Power systems

Run power-flow studies on your network and explain the results in plain words.

Water

Monitor pumps, levels and dosing, and explain what changed and why.

Quality monitoring

Trace batch deviations to their likely cause, with the data behind it.

Industrial manufacturing

Answer line questions from SOPs, drawings and cut sheets, citing the page.

ESG and carbon

Calculate Scope 2 footprints from utility bills with cited emission factors.

Logistics and supply chain

Track tank inventory and transfers at fuel terminals, and flag what is off plan.

Geoscience and seismic

Check structures against seismic design codes, and show the results in 2D and 3D.

How it works

People

Voice and chatOperator viewsTime seriesReports

Mantis kernel

On site or air-gapped · NVIDIA or Apple Silicon · or as a service

Specialist agents

BoilerA2A PowerA2A ESG

Built from expert manifests

Autonomous reasoning

  1. Goal
  2. Plan
  3. Act
  4. Check

Plans its own steps, no scripted flows

Model routing

Cloud Local

Right model per task

Governance

GuardrailsAudit logVaultProvenance

MCP open protocol

Plant data

OPC UA · historians

Knowledge

Documents · P&IDs

Simulation

Digital twin · power flow

Services

Any MCP server

Built with Claude

Mantis AI Harness was written with Claude Code, Anthropic's agentic coding tool, and runs Anthropic's Claude models alongside other providers wherever customers allow cloud models.

Try it

See an agent catch a fault

Inject a fault into a simulated boiler. The agent spots the drift, works out the likely cause, and proposes a fix your operator approves.

Boiler B-101Operator view · simulated
AIMantis agentWatching 4 tags

All values normal. The agent checks every tag continuously and alerts only when something drifts.

Runs in your browser. The plant, values and procedure are illustrative; a live demo on your own data is available on request.

From idea to agent

Four steps, no code

  1. Step 1

    Describe the job

    Goals, data sources, actions and limits, in plain language, with your experts.

  2. Step 2

    Genesis writes the manifest

    The declarative blueprint: agent roles, knowledge, tools and guardrails.

  3. Step 3

    Mantis builds the agents

    The platform reads the manifest and assembles and wires the agents.

  4. Step 4

    Run and improve

    Agents run on your site, every action is audited, and the manifest evolves with the plant.

Start small, prove value

A 30-day pilot, measured against your baseline

Phase 0 assesses your site and gets it ready: security review, network access, read-only data access, your documents and the agent. The 30 days of real use start only when Phase 0 is complete.

Own it

An appliance on your site with an annual license.

As a service

Appliance, updates and support for a monthly fee.

  1. Phase 0 · Site readiness · 3 to 8 weeks

    Assess and prepare

    We first assess your site: network and OT security, OPC UA server and historian, documents, users and success criteria. Then we close the gaps: security approval, appliance installed, read-only data access, documents loaded, agent built with your experts.

  2. Pilot · days 1 to 7

    Train and validate

    Your users learn the interface and test agreed scenarios.

  3. Days 8 to 25

    Use it

    Real questions on real shifts, measured against an agreed baseline.

  4. Days 26 to 30

    Decide

    Results against the success criteria, and the next step.

Advisory

Practitioner advice for AI and industrial technology

Deep practitioner experience with boardroom clarity, so enterprises capture the real value of AI and emerging technology.

AI strategy and governance

Roadmaps for LLM deployment, agentic workflows, MLOps and AI governance, tied to business outcomes.

Industrial IoT architecture

Sensors, edge gateways, SCADA integration, digital twins and analytics, designed for operational resilience.

Intelligent automation

Automation across the value chain, from scripted tasks to supervised AI workflows, with measured cycle-time and cost results.

Digital transformation

Programs that change processes, technology and culture together, with clear milestones.

Technology roadmaps

Multi-year plans, build-buy-partner decisions and board-ready investment cases.

Due diligence and IP strategy

Technology due diligence for investments and M&A, and provisional patent strategy for founders.

Research and proprietary IP

What we are building next

Technology developed in house, for partners who want to shape it early.

Proprietary IP

Industrial code generation

Reads P&IDs, ISA-88 recipes, I/O lists and interlock specifications, then generates IEC 61131-3 PLC code, SCADA configuration and test documentation, guided by a manifest that sets the standards and guardrails.

Seeking industrial and enterprise partners

Root-cause analysis for operations and decisions

Continuous, evidence-based root-cause analysis across mining, oil and gas, distribution chains, bioprocessing and enterprise decision making: surfacing anomalies early, simulating corrections before committing, and sharpening fault catalogs over time.

In development · seeking partners

Humanoid fleet management

One command interface for robot fleets: dispatch, patrol routing, health telemetry, safety interlocks and human override, each deployment defined by a manifest.

Active R&D · provisional IP

The next frontier: emotion-aware human-AI interfaces

Organic emotional AI uses emotional modulation to shape attention, risk thresholds and arbitration in multi-agent systems before reasoning begins, so agents respond to people and situations the way experienced operators do.

About

Built by industrial AI practitioners

Rayen Digital is an Ohio-based company with a team in Chile, built by engineers who have spent their careers putting AI and automation into real plants.

Our experience

Decades in industrial automation, robotics, advanced manufacturing and industrial AI, including research in agentic AI for manufacturing and a portfolio of patents.

What we build

Mantis AI Harness, our platform for industrial AI agents, and new technology in root-cause analysis, code generation and human-AI interfaces.

How we work

Alongside your engineers and operators, starting with a focused pilot, and designing for safety, auditability and the realities of operational technology.

Contact

Tell us about your process

A confidential, no-obligation conversation about a pilot, an advisory project or a research partnership. NDA available on request.

Email
info@rayendigital.com
LinkedIn
linkedin.com/company/rayen-digital
Office
Ohio, USA

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